US Patent Application 18137206. ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF simplified abstract
Contents
ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF
Organization Name
Inventor(s)
ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF - A simplified explanation of the abstract
This abstract first appeared for US patent application 18137206 titled 'ELECTRONIC APPARATUS AND CONTROLLING METHOD THEREOF
Simplified Explanation
The patent application describes an electronic apparatus with an artificial intelligence model for predicting the minimum winning price in real-time bidding.
- The apparatus has a memory to store the AI model and instructions, and processors to execute the instructions.
- It acquires information on multiple auction histories, including different types of auctions.
- It generates a probability distribution for the minimum winning price based on the entire set of auction histories.
- It further generates a conditional probability distribution for each individual auction history.
- The AI model is trained using auction attribute information as an independent variable and the conditional probability distribution as a dependent variable.
Original Abstract Submitted
The electronic apparatus disclosed includes a memory storing an artificial intelligence model predicting the minimum winning price in a real time bidding and instructions, and processors configured to, acquire information on a plurality of auction histories including at least one auction history of a first auction type and at least one auction history of a second auction type, generate the minimum winning price probability distribution for entire of the plurality auction histories, based on the minimum winning price probability distribution for entire of the plurality auction histories, generate a conditional minimum winning price probability distribution for each of the plurality of auction histories, and train the artificial intelligence model by using auction attribute information for each of the plurality of auction histories as an independent variable, and using the conditional minimum winning price probability distribution for each of the plurality of auction histories as a dependent variable.
